Sydney Students Allegedly Forced to Retake NAPLAN After AI Predictive Text Error
March 12, 2025
This incident illustrates how AI malfunctions can impact test integrity and fairness, emphasizing the need for strong AI governance mechanisms to ensure safe and secure testing environments. Join Project Cerebellum today to contribute to the AI incident database and help prevent harm in AI applications.
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MEASURE 2.6 — similarity 0.700, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.665, rank 2. TAIM detail and related incidents →
- MANAGE 4.3 — similarity 0.660, rank 3. TAIM detail and related incidents →
- Alleged deployer
- nsw-education-standards-authority-(nesa), australian-curriculum-assessment-and-reporting-authority-(acara), waverley-college-(sydney-australia), kambala-(sydney-australia)
- Alleged developer
- apple
- Alleged harmed parties
- waverley-college-(sydney-australia)-students, waverley-college-(sydney-australia)-teachers, kambala-(sydney-australia)-students, kambala-(sydney-australia)-teachers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/993
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
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